241 lines
8.2 KiB
Python
241 lines
8.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2018 New Vector Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import threading
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from asyncio import iscoroutine
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from functools import wraps
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from typing import Dict, Set
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import six
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from prometheus_client.core import REGISTRY, Counter, GaugeMetricFamily
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from twisted.internet import defer
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from synapse.logging.context import LoggingContext, PreserveLoggingContext
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logger = logging.getLogger(__name__)
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_background_process_start_count = Counter(
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"synapse_background_process_start_count",
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"Number of background processes started",
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["name"],
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)
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# we set registry=None in all of these to stop them getting registered with
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# the default registry. Instead we collect them all via the CustomCollector,
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# which ensures that we can update them before they are collected.
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#
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_background_process_ru_utime = Counter(
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"synapse_background_process_ru_utime_seconds",
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"User CPU time used by background processes, in seconds",
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["name"],
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registry=None,
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)
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_background_process_ru_stime = Counter(
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"synapse_background_process_ru_stime_seconds",
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"System CPU time used by background processes, in seconds",
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["name"],
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registry=None,
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)
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_background_process_db_txn_count = Counter(
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"synapse_background_process_db_txn_count",
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"Number of database transactions done by background processes",
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["name"],
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registry=None,
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)
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_background_process_db_txn_duration = Counter(
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"synapse_background_process_db_txn_duration_seconds",
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(
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"Seconds spent by background processes waiting for database "
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"transactions, excluding scheduling time"
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),
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["name"],
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registry=None,
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)
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_background_process_db_sched_duration = Counter(
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"synapse_background_process_db_sched_duration_seconds",
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"Seconds spent by background processes waiting for database connections",
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["name"],
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registry=None,
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)
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# map from description to a counter, so that we can name our logcontexts
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# incrementally. (It actually duplicates _background_process_start_count, but
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# it's much simpler to do so than to try to combine them.)
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_background_process_counts = {} # type: Dict[str, int]
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# map from description to the currently running background processes.
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#
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# it's kept as a dict of sets rather than a big set so that we can keep track
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# of process descriptions that no longer have any active processes.
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_background_processes = {} # type: Dict[str, Set[_BackgroundProcess]]
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# A lock that covers the above dicts
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_bg_metrics_lock = threading.Lock()
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class _Collector(object):
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"""A custom metrics collector for the background process metrics.
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Ensures that all of the metrics are up-to-date with any in-flight processes
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before they are returned.
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"""
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def collect(self):
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background_process_in_flight_count = GaugeMetricFamily(
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"synapse_background_process_in_flight_count",
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"Number of background processes in flight",
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labels=["name"],
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)
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# We copy the dict so that it doesn't change from underneath us.
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# We also copy the process lists as that can also change
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with _bg_metrics_lock:
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_background_processes_copy = {
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k: list(v) for k, v in six.iteritems(_background_processes)
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}
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for desc, processes in six.iteritems(_background_processes_copy):
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background_process_in_flight_count.add_metric((desc,), len(processes))
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for process in processes:
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process.update_metrics()
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yield background_process_in_flight_count
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# now we need to run collect() over each of the static Counters, and
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# yield each metric they return.
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for m in (
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_background_process_ru_utime,
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_background_process_ru_stime,
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_background_process_db_txn_count,
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_background_process_db_txn_duration,
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_background_process_db_sched_duration,
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):
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for r in m.collect():
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yield r
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REGISTRY.register(_Collector())
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class _BackgroundProcess(object):
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def __init__(self, desc, ctx):
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self.desc = desc
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self._context = ctx
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self._reported_stats = None
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def update_metrics(self):
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"""Updates the metrics with values from this process."""
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new_stats = self._context.get_resource_usage()
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if self._reported_stats is None:
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diff = new_stats
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else:
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diff = new_stats - self._reported_stats
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self._reported_stats = new_stats
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_background_process_ru_utime.labels(self.desc).inc(diff.ru_utime)
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_background_process_ru_stime.labels(self.desc).inc(diff.ru_stime)
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_background_process_db_txn_count.labels(self.desc).inc(diff.db_txn_count)
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_background_process_db_txn_duration.labels(self.desc).inc(
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diff.db_txn_duration_sec
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)
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_background_process_db_sched_duration.labels(self.desc).inc(
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diff.db_sched_duration_sec
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)
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def run_as_background_process(desc, func, *args, **kwargs):
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"""Run the given function in its own logcontext, with resource metrics
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This should be used to wrap processes which are fired off to run in the
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background, instead of being associated with a particular request.
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It returns a Deferred which completes when the function completes, but it doesn't
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follow the synapse logcontext rules, which makes it appropriate for passing to
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clock.looping_call and friends (or for firing-and-forgetting in the middle of a
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normal synapse inlineCallbacks function).
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Args:
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desc (str): a description for this background process type
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func: a function, which may return a Deferred or a coroutine
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args: positional args for func
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kwargs: keyword args for func
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Returns: Deferred which returns the result of func, but note that it does not
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follow the synapse logcontext rules.
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"""
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@defer.inlineCallbacks
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def run():
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with _bg_metrics_lock:
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count = _background_process_counts.get(desc, 0)
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_background_process_counts[desc] = count + 1
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_background_process_start_count.labels(desc).inc()
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with LoggingContext(desc) as context:
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context.request = "%s-%i" % (desc, count)
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proc = _BackgroundProcess(desc, context)
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with _bg_metrics_lock:
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_background_processes.setdefault(desc, set()).add(proc)
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try:
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result = func(*args, **kwargs)
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# We probably don't have an ensureDeferred in our call stack to handle
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# coroutine results, so we need to ensureDeferred here.
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#
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# But we need this check because ensureDeferred doesn't like being
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# called on immediate values (as opposed to Deferreds or coroutines).
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if iscoroutine(result):
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result = defer.ensureDeferred(result)
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return (yield result)
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except Exception:
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logger.exception("Background process '%s' threw an exception", desc)
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finally:
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proc.update_metrics()
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with _bg_metrics_lock:
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_background_processes[desc].remove(proc)
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with PreserveLoggingContext():
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return run()
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def wrap_as_background_process(desc):
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"""Decorator that wraps a function that gets called as a background
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process.
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Equivalent of calling the function with `run_as_background_process`
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"""
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def wrap_as_background_process_inner(func):
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@wraps(func)
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def wrap_as_background_process_inner_2(*args, **kwargs):
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return run_as_background_process(desc, func, *args, **kwargs)
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return wrap_as_background_process_inner_2
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return wrap_as_background_process_inner
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